Análise das Séries Com Dados IMDB

Foram escolhidas três séries para esta análise, Mad Men, Sherlock e The Killing.

A média das notas dadas pelos usuários a cada episódio das séries analisadas não são muito diferentes, sendo a maior nota, 8.8, de Sherlock. A nota de cada episódio é ponderada, levando em conta quantas pessoas votaram e a nota que cada uma deu.

Parsed with column specification:
cols(
  series_name = col_character(),
  episode = col_character(),
  series_ep = col_integer(),
  season = col_integer(),
  season_ep = col_integer(),
  url = col_character(),
  user_rating = col_double(),
  user_votes = col_double(),
  r1 = col_double(),
  r2 = col_double(),
  r3 = col_double(),
  r4 = col_double(),
  r5 = col_double(),
  r6 = col_double(),
  r7 = col_double(),
  r8 = col_double(),
  r9 = col_double(),
  r10 = col_double()
)
medias_series = plot_ly(medias_imd_por_serie,
                        x = ~series_name,
                        y = ~media_imdb,
                        name = "Média IMDB Séries",
                        type = "bar",
                        color = ~series_name) %>%
                        layout(yaxis = list(title = "Média IMDB"),
                               xaxis = list(title = "Séries"),
                               barmode = "group")
medias_series

No entanto, podemos ver que a The Killing é a que possui uma distribuição de notas mais homogênea, enquanto que a dispersão das notas dos episódios de Mad Men e Sherlock são maiores. Além disso, podemos perceber que a mediana e a média de cada série estão próximas uma da outra. Confirmando que a média é representativa.

variacoes_notas = plot_ly(series_a_serem_analisadas,
                          x = ~series_name,
                          y = ~user_rating,
                          type = "box",
                          color = ~series_name)
variacoes_notas
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